CN113297538A - Non-ferromagnetic material stress damage monitoring method and device and computer equipment - Google Patents

Non-ferromagnetic material stress damage monitoring method and device and computer equipment Download PDF

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CN113297538A
CN113297538A CN202110639972.5A CN202110639972A CN113297538A CN 113297538 A CN113297538 A CN 113297538A CN 202110639972 A CN202110639972 A CN 202110639972A CN 113297538 A CN113297538 A CN 113297538A
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CN113297538B (en
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程强强
严毅琪
詹志炜
杨勋
孙鹏宇
单旭升
黄长辉
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Jiangxi Boiler And Pressure Vessel Inspection And Testing Institute
Nanchang Hangkong University
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Abstract

The invention discloses a method and a device for monitoring stress damage of a non-ferromagnetic material and computer equipment, wherein the method comprises the following steps: acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress; introducing the magnetic induction intensity into a dislocation-magnetic induction intensity function, and determining the dislocation density; and analyzing the dislocation density in the whole tensile stress damage process to determine the stress damage state of the non-ferromagnetic material. The invention constructs a dislocation-magnetic induction model, uses the change of the magnetic induction monitored on the surface of the brass as the monitoring quantity of the internal stress damage state of the material, utilizes the constructed dislocation-magnetic induction model, and can judge the tensile stress damage state of the brass according to the monitored change of the magnetic induction, and simultaneously can realize on-line monitoring and accurate judgment of the internal microstructure of the material for the stress damage process of a complex structural part which is difficult to monitor by a conventional monitoring system.

Description

Non-ferromagnetic material stress damage monitoring method and device and computer equipment
Technical Field
The invention relates to the field of stress damage detection, in particular to a method and a device for monitoring stress damage of a non-ferromagnetic material and computer equipment.
Background
Brass is widely applied to nuclear power, manufacturing industries of shells of guns and cannonballs and ship parts due to excellent wear resistance and mechanical properties. However, the brass parts are usually formed by a hot forging process, and the H80 brass material needs to undergo large deformation at high temperature during the hot forging process, which easily causes the defects of unstable material forming, rough material surface and easily generated coarse grains in the material. In the research of material damage monitoring, the magnetic performance of the material is mostly used to judge the damage state of the ferromagnetic material. However, due to the influences of low magnetic saturation magnetization of non-ferromagnetic materials, great influence of preparation methods on ferromagnetism and the like, the conventional nondestructive testing technology has certain limitations in the practical engineering application of the H80 brass material. Because the steel is in a high-load and high-corrosion environment for a long time, damage cracks are easy to generate, and once the steel is broken, the life and property safety is seriously damaged. Therefore, it is an important research direction to propose a magnetic characterization method for the stress damage state of a non-ferromagnetic material based on magnetic induction intensity aiming at the imperfect judgment of the stress damage state of the H80 brass material.
Currently, methods for monitoring the stress damage state mainly include a center drilling method, an X-ray method, a barkhausen noise method, and a multi-frequency excitation spectroscopy (MFES). Although these detection methods have a certain detection effect on defects, they have some obvious disadvantages. X-rays are not suitable for detecting tiny and complex area-type defects; the Barkhausen noise method requires that the detected workpiece is limited to a ferromagnetic material and needs an external magnetic field; when a workpiece is detected by multi-frequency excitation spectroscopy (MFES), the excitation frequency needs to be adjusted, and stress damage defects inside the material are difficult to detect in time due to the limitation of skin effect. In addition, the accuracy of the judgment of the microstructure in the H80 brass is greatly determined by the selection of the monitoring method, because the more accurate monitoring of the tensile stress damage state of the material can improve the accuracy of the judgment of the microstructure in the brass of the H80.
Generally, the propagation path of a mechanical damage defect is usually accompanied by stress stacking for early stages without formation of a distinct crack, and failure at break is the ultimate manifestation of tensile stress damage. The study of the microstructure change in tensile failure state alone is not sufficient to represent the change in microstructure over the course of tensile stress damage. At present, the research on the tensile stress damage process focuses on the macroscopic expression of tensile fracture, and the microstructure analysis of the whole tensile stress damage stage still has many problems to be solved; under the action of tensile stress, the superposition of stress usually causes local irreversible damage, and greatly influences the service life of the component. In order to further explore a simple and efficient monitoring method for the stress damage state of a non-ferromagnetic material, it is particularly important to monitor and analyze the tensile stress damage state.
Currently, most of the methods for monitoring the stress damage state focus on an off-line means combining the conventional nondestructive testing technology and an optical instrument. The stress damage state is researched by building an electron optical analysis instrument test system with high resolution and a test method capable of continuously measuring the stress damage change in situ. For the tensile stress damage process of H80 brass, the stress damage can be divided into an elastic deformation stage, a work hardening stage, and a neck fracture stage according to the stress-strain curve. The absence of significant macroscopic changes before and after each stage of change makes the determination of the microstructure inside the material particularly difficult. If it is necessary to obtain a more accurate change state of the internal microstructure, a higher resolution test system or a higher precision monitoring method is required. But the combination of the two makes the judgment effect have no obvious advantages in quantity and quality and is generally not suitable for engineering application. The existing tensile stress damage state monitoring method can only monitor the macroscopic damage process, can not monitor the stress accumulation process in the early stage of damage, and is particularly difficult to judge the change state condition of an internal microstructure in the tensile stress damage process.
Disclosure of Invention
In view of the foregoing, there is a need to provide a method, an apparatus and a computer device for monitoring stress damage of a non-ferromagnetic material, which can solve the problem that the change state of an internal microstructure during a tensile stress damage process is difficult to determine.
The embodiment of the invention provides a non-ferromagnetic material stress damage monitoring method, which comprises the following steps:
acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress;
introducing the magnetic induction intensity into a dislocation-magnetic induction intensity function, and determining the dislocation density;
determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process;
wherein the determining of the dislocation-magnetic induction function comprises:
establishing a relational expression between the magnetic induction intensity and the main stress;
introducing a dislocation concept, and establishing a relational expression between dislocation density and shear stress;
establishing a relational expression between the shear stress and the main stress;
determining a relational expression between the main stress and the dislocation density according to the relational expression between the dislocation density and the shear stress and the relational expression between the shear stress and the main stress;
and determining a relational expression between the magnetic induction intensity and the dislocation density according to the relational expression between the magnetic induction intensity and the main stress and the relational expression between the main stress and the dislocation density, namely determining the relational expression as a dislocation-magnetic induction intensity function.
In one embodiment, the relationship between the magnetic induction and the principal stress is:
Figure BDA0003106872990000031
wherein, sigma is the main stress,
Figure BDA0003106872990000032
the magnetic induction intensity is the normal magnetic induction intensity,
Figure BDA0003106872990000033
w is the material cross-sectional width, L for axial magnetic induction0For lift-off distance, kzIs a value of ktNd/1-NdConstant of (2), coefficient ktAnd a demagnetization factor NdOnly with respect to the shape of the sample.
In one embodiment, the relationship between the dislocation density and the shear stress is:
Figure BDA0003106872990000034
wherein tau is shear stress; g is shear modulus; a is a strengthening coefficient, and the value of a strengthening coefficient is a constant between 0.3 and 0.6; ρ is the dislocation density.
In one embodiment, the relationship between the shear stress and the principal stress is:
Figure BDA0003106872990000035
in one embodiment, the relationship between the principal stress and dislocation density is:
Figure BDA0003106872990000041
in one embodiment, the relationship between the principal stress and dislocation density is:
Figure BDA0003106872990000042
in one embodiment, the determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process includes:
representing the amount of dislocations from the density of dislocations
Figure BDA0003106872990000043
Wherein L is the total length of dislocation lines, and V is the crystal volume;
and determining the stress damage state of the non-ferromagnetic material according to the dislocation quantity.
In one embodiment, the non-ferromagnetic material stress damage state includes: an elastic deformation stage, a work hardening stage, and a neck fracture stage.
A non-ferromagnetic material stress damage monitoring device, comprising:
the high-precision magnetism measuring sensor is used for acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress;
a micro-magnetic on-line monitoring device,
the magnetic induction is used for introducing the magnetic induction into a dislocation-magnetic induction function, and the dislocation density is determined; and
the method is used for determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process;
wherein the dislocation-flux density function comprises:
a first relational expression determining unit for establishing a relational expression between the magnetic induction and the principal stress;
the second relational expression determining unit is used for introducing a dislocation concept and establishing a relational expression between dislocation density and shear stress;
a third relation determining unit for establishing a relation between the shear stress and the principal stress;
a fourth relational expression determining unit, configured to determine a relational expression between the principal stress and the dislocation density according to a relational expression between the dislocation density and the shear stress, and a relational expression between the shear stress and the principal stress;
and the fifth relational expression determining unit is used for determining a relational expression between the magnetic induction and the dislocation density according to the relational expression between the magnetic induction and the main stress and the relational expression between the main stress and the dislocation density, namely the relational expression is a dislocation-magnetic induction function.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress;
introducing the magnetic induction intensity into a dislocation-magnetic induction intensity function, and determining the dislocation density;
determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process;
wherein the determining of the dislocation-magnetic induction function comprises:
establishing a relational expression between the magnetic induction intensity and the main stress;
introducing a dislocation concept, and establishing a relational expression between dislocation density and shear stress;
establishing a relational expression between the shear stress and the main stress;
determining a relational expression between the main stress and the dislocation density according to the relational expression between the dislocation density and the shear stress and the relational expression between the shear stress and the main stress;
and determining a relational expression between the magnetic induction intensity and the dislocation density according to the relational expression between the magnetic induction intensity and the main stress and the relational expression between the main stress and the dislocation density, namely determining the relational expression as a dislocation-magnetic induction intensity function.
Compared with the prior art, the non-ferromagnetic material stress damage monitoring method, the non-ferromagnetic material stress damage monitoring device and the computer equipment provided by the embodiment of the invention have the following beneficial effects:
in the embodiment of the invention, a dislocation-magnetic induction model is constructed by combining a macroscopic force magnetic coupling effect with a Zerili-Armstrong theory suitable for a microstructure; on the premise of not damaging the structure of the brass, a high-resolution electron optical analysis instrument is not needed, the change of the magnetic induction intensity monitored on the surface of the brass is used as the monitoring quantity of the internal stress damage state of the material, the constructed dislocation-magnetic induction intensity model is utilized, the tensile stress damage state of the brass can be judged according to the change of the magnetic induction intensity obtained by monitoring, and meanwhile, the online monitoring can be realized and the internal microstructure of the material can be accurately judged in the stress damage process of a complex structural part which is difficult to monitor by a conventional monitoring system.
Drawings
FIG. 1 is a schematic diagram of a micro-magnetic on-line monitoring device equipped with a high-precision magnetic sensor according to an embodiment;
FIG. 2 is a graph of H80 brass on-line monitoring data at 0% tensile strain provided by one embodiment;
FIG. 3 is a microstructure diagram of H80 brass at 0% tensile strain according to one embodiment;
FIG. 4 is a graph of H80 brass on-line monitoring data at 5% tensile strain provided by one embodiment;
FIG. 5 is a microstructure diagram of H80 brass at 5% tensile strain according to one embodiment;
FIG. 6 is a graph of H80 brass on-line monitoring data at 35% tensile strain provided by one embodiment;
FIG. 7 is a microstructure diagram of H80 brass at 35% tensile strain according to one embodiment;
FIG. 8 is a graph of H80 brass on-line monitoring data at 52% tensile strain provided by one embodiment;
FIG. 9 is a microstructure diagram of H80 brass at 52% tensile strain according to one embodiment;
FIG. 10 is a graph illustrating an example of an H80 brass on-line magnetic induction-stress monitoring curve under a geomagnetic field;
fig. 11 is an example H80 brass tensile stress-strain curve.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
For the tensile fracture process of brass (taking H80 brass as an example) which is a non-ferromagnetic material, the conventional non-destructive testing technology has certain limitations in the practical engineering of H80 brass material, especially under various limitations of materials and environment. Various macroscopic parameters such as stress damage and the like and the state of change of an internal microstructure are difficult to obtain, and when a large defect plane and an incident beam are basically kept parallel in conventional X-ray detection, the surface defect is difficult to detect by an X-ray method, and even a tiny and complex area type defect cannot be detected. In addition, the X-ray detection method is expensive and has low detection efficiency, and an ultrasonic detection method is usually required to be used for judging the defects. The invention provides a magnetic characterization method of a stress damage state of a non-ferromagnetic material based on magnetic induction intensity, which aims at the judgment of microstructure change in the tensile stress damage process of the non-ferromagnetic material such as H80 brass and introduces magnetic parameters into the field of tensile stress damage and microstructure judgment, so that the problems of complex test system construction and low monitoring efficiency and accuracy are effectively avoided, and the accurate and real-time judgment of the tensile stress damage process and internal microstructure change of the H80 brass is achieved. Specifically, the method comprises the following steps:
in one embodiment, a method for monitoring stress damage of a non-ferromagnetic material is provided, which specifically includes:
1. the derivative of the magnetic induction intensity of the H80 brass material surface with respect to the stress can intuitively reflect the relationship between the magnetic induction intensity and the change rate of the stress, and the magnetic induction intensity and the change rate of the stress satisfy the following relationship:
Figure BDA0003106872990000071
wherein, sigma is the main stress,
Figure BDA0003106872990000072
the magnetic induction intensity is the normal magnetic induction intensity,
Figure BDA0003106872990000073
w is the material cross-sectional width, L for axial magnetic induction0For lift-off distance, kzIs a value of ktNd/1-NdConstant of (2), coefficient ktAnd a demagnetization factor NdOnly with respect to the shape of the sample.
2. When H80 brass is subjected to external tensile stresses, a large number of dislocations are present in the crystal at various stages. The amount of dislocations in a crystal can be expressed by the dislocation density:
Figure BDA0003106872990000074
where ρ is the dislocation density, L is the total length of the dislocation lines, and V is the crystal volume.
3. During the plastic deformation of the material, the change of dislocation density and stress basically satisfies the following conditions:
Figure BDA0003106872990000075
wherein τ is shear stress, G is shear modulus, and a is reinforcement coefficient, and the value is constant between 0.3 and 0.6.
4. When the material is in a uniaxial tensile stress state, the relationship between the shear stress τ and the principal stress σ is:
Figure BDA0003106872990000076
the simultaneous expression (3) and the expression (4) can obtain the relationship between the main stress and the dislocation density by simplification, thereby establishing the relation between the microstructure and the macroscopic performance:
Figure BDA0003106872990000081
5. when the H80 brass is under the action of tensile stress and the micro-magnetic detection system is in a stable running state in the test process, if no lift-off is generated between the high-precision magnetic measurement sensor and the surface of the H80 brass, L is generated00, then:
Figure BDA0003106872990000082
equation (6) is the dislocation-magnetic induction function of the brass material in the established tensile stress state. When the brass material is under the action of stress, the magnetic induction intensity B on the surface of the brass material can change along with the dislocation density rho, the dislocation density represented by the magnetic induction intensity can be determined by analyzing the magnetic induction intensity B, and then the stress damage state of the brass material can be analyzed and judged by analyzing the magnetic induction intensity B.
6. Under the geomagnetic environment, the magnetic induction intensity of the surface of the H80 brass material is also changed under the action of stress. In the monitoring process, a high-precision magnetism measuring sensor is used for obtaining magnetic induction intensity values, collected magnetic induction intensity data are processed through micro-magnetism online monitoring equipment (in the figure 1, the figure 1 is a high-precision magnetism measuring sensor), the online monitoring process is achieved, and meanwhile fitting analysis is conducted by combining a stress-strain curve of a material. Finally, the monitoring of the tensile stress damage state process and the judgment and analysis of the internal microstructure are realized by using the magnetic induction value B of H80 brass.
The above method produces the following effects:
1. under the geomagnetic field environment without additional magnetizing excitation, the high-precision magnetism measuring sensor is used for scanning and obtaining the H80 brass magnetic induction intensity signal, the tensile stress damage state of the brass can be monitored, the internal microstructure of the brass can be judged, the integrity of the H80 brass structure can be effectively prevented from being damaged, and the method is a novel nondestructive monitoring method. Namely, the tensile stress damage process of H80 brass can be monitored on line in the conventional geomagnetic field environment, external magnetizing is not needed to be used as an excitation source, the monitoring efficiency is improved, and the monitoring cost is saved.
2. In the aspect of acquiring monitoring information, the method for online monitoring by using the H80 brass magnetic induction intensity signal can acquire real-time monitoring data by using a high-precision magnetic sensor, avoids the construction of a complex test system, and ensures the real-time property and the accuracy in the online monitoring process. Namely, a complex monitoring system does not need to be built for the tensile stress damage process, the effectiveness of monitoring data is effectively improved while the monitoring process is simplified, and data redundancy is avoided. By the micro-magnetic on-line monitoring equipment with the high-precision magnetic measurement sensor, the tensile stress damage process of non-ferromagnetic materials such as H80 brass can be monitored on line in real time on the premise of ensuring the accuracy of the monitoring result. Meanwhile, the system has universality for monitoring the environment.
3. The tensile stress damage on-line monitoring method provided by the invention not only can monitor the macroscopic stress damage state, but also can combine the magnetic induction intensity signal obtained by monitoring through the established brass material dislocation-magnetic induction intensity model, thereby achieving the purpose of judging the internal microstructure in the H80 brass tensile stress damage process. In other words, in the online monitoring process of tensile stress damage of H80 brass, the method provided by the invention can not only reflect the stress damage condition of H80 brass before tensile fracture, but also judge the internal microstructure at different tensile stages on the premise of not damaging the H80 brass structure and keeping the integrity of the H3526 brass structure, thereby effectively solving the problem that the current optical monitoring system is complex in monitoring the internal microstructure in real time, and simultaneously providing a new monitoring and analyzing method for the stress damage state and the internal microstructure in the tensile stress damage process.
Example (b):
by carrying out multiple tensile mechanical tests on H80 brass, a constructed magnetic induction intensity monitoring method is used for carrying out online monitoring on the tensile stress damage process of H80 brass in the test process, meanwhile, in order to verify the effectiveness and reliability of the proposed online monitoring method and the internal microstructure judgment method, tensile stresses with different sizes are applied to H80 brass in the tensile stress damage test, and a microstructure in the tensile fracture process is analyzed, so that the change condition of a magnetic induction intensity signal along with the tensile stress damage process is judged.
Example 1:
it can be seen from fig. 2 that when the tensile strain is 0%, i.e. the initial state, the monitored H80 brass magnetic induction signal is approximately a smooth curve, the magnetic induction variation is floated within 30nT, and the signal values are all in the normal range. From FIG. 3, it can be seen that the brass is composed of white-based α -Cu and a small amount of black chain-like β -Cu, and there are a small amount of dislocations with a dislocation density of 106~108Per cm2Dislocations that can cause defects do not occur.
Example 2:
it can be seen from fig. 4 that the monitored H80 brass induction values do not change significantly with 0% tensile strain when the tensile strain is 5%. As can be seen from fig. 5, the dislocations appear to proliferate, and some of the dislocations intersect each other, and are slightly elongated and linear. The structure of dislocations progresses from an isolated state to dislocation tangles.
Example 3:
it can be seen from fig. 6 that the signal shows a decreasing trend along with the increase of the tensile stress, and is accompanied by partial pulse fluctuation in addition to the decreasing trend, and the change amplitude of the signal fluctuation indicates that the signal is the magnetic induction intensity change caused by the universal testing machine itself in the process of testing the tensile mechanical properties of the sample, and the influence can be eliminated by performing smooth filtering on the signal at the later stage. As can be seen from fig. 7, when the strain reaches 35%, the dislocation density is significantly increased, and the number of the dislocations entangled with each other is increased, the dislocation entanglement gradually forms a dislocation wall.
Example 4:
when the strain reaches 52%, the sample is broken, and as can be seen from fig. 8, the magnetic induction intensity signal in the interval a is still pulse fluctuation, and is not different from the previously collected signal. However, when the tensile strain is loaded to 52%, the sample undergoes a sudden drop in magnetic induction at break, as shown in region B. It can be seen from fig. 9 that solute copper atoms are continuously gathered toward the grain boundary, and the slip plane and the slip direction gradually tend to the direction of the drawing axis. In the plastic deformation process of the strain of 35 to 52%, the slip of the initial dislocation does not contribute much to the plastic deformation, but as the strain increases, when the dislocation density is sufficiently large, a fracture is formed due to the movement of the dislocation.
In practical application, the magnetic induction signal is applied to the damage and fracture of the material, so as shown in fig. 10, the magnetic induction signal monitored in the stretching process is fitted with a stress value, and a comprehensive analysis is performed by combining a tensile stress-strain curve of the H80 brass material. As shown in fig. 11, the curve can be divided into three phases: OA is an elastic deformation stage, and the strain is 0-5%; AB is a work hardening stage, and the strain is 5-48%; BC is the necking fracture stage, and the strain is 48-52%. When the stress point a is present, the magnetic signal changes only about 200 nT; however, in the work hardening stage, i.e. the AB stage in the figure, the magnetic induction strength value decreases sharply with the increase of tensile stress, and the magnetic induction strength value decreases faster the greater the stress; when the sample is in tensile fracture, the magnetic induction intensity value is stable and unchanged. Therefore, the tensile stress state of the material can be directly judged according to the magnetic induction-stress curve under the geomagnetic field.
It should be noted that the dislocation density is a concrete representation of the internal structure change that causes the stress damage state of the material, and the dislocation density varies with stress damage of different degrees, and the damage state can be determined by determining the internal structure according to fig. 10 (magnetic induction-stress curve). The shape of the (stress-strain) curve of fig. 11 reflects the process by which the material fails at rupture under the action of an external force. The stress-strain curve can divide the stress damage process into an elastic deformation stage, a work hardening stage and a neck fracture stage. The stress damage levels and dislocation densities vary from stage to stage. The curve distinguishes three stages more obviously in principle and plays a role in comparing the accuracy of judgment results of the damage stages.
In conclusion, repeated tests prove that the online monitoring and analyzing method for the tensile stress damage state of H80 brass in the geomagnetic field environment has good accuracy and effectiveness.
In one embodiment, a non-ferromagnetic material stress damage monitoring device is provided, the device comprising:
the high-precision magnetism measuring sensor is used for acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress;
a micro-magnetic on-line monitoring device,
the magnetic induction is used for introducing the magnetic induction into a dislocation-magnetic induction function, and the dislocation density is determined; and
the method is used for determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process;
wherein the determining of the dislocation-magnetic induction function comprises:
establishing a relational expression between the magnetic induction intensity and the main stress;
introducing a dislocation concept, and establishing a relational expression between dislocation density and shear stress;
establishing a relational expression between the shear stress and the main stress;
determining a relational expression between the main stress and the dislocation density according to the relational expression between the dislocation density and the shear stress and the relational expression between the shear stress and the main stress;
and determining a relational expression between the magnetic induction intensity and the dislocation density according to the relational expression between the magnetic induction intensity and the main stress and the relational expression between the main stress and the dislocation density, namely determining the relational expression as a dislocation-magnetic induction intensity function.
For specific limitations of the non-ferromagnetic material stress damage monitoring device, reference may be made to the above limitations of the non-ferromagnetic material stress damage monitoring method, which is not described herein again. The modules in the non-ferromagnetic material stress damage monitoring device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress;
introducing the magnetic induction intensity into a dislocation-magnetic induction intensity function, and determining the dislocation density;
determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process;
wherein the determining of the dislocation-magnetic induction function comprises:
establishing a relational expression between the magnetic induction intensity and the main stress;
introducing a dislocation concept, and establishing a relational expression between dislocation density and shear stress;
establishing a relational expression between the shear stress and the main stress;
determining a relational expression between the main stress and the dislocation density according to the relational expression between the dislocation density and the shear stress and the relational expression between the shear stress and the main stress;
and determining a relational expression between the magnetic induction intensity and the dislocation density according to the relational expression between the magnetic induction intensity and the main stress and the relational expression between the main stress and the dislocation density, namely determining the relational expression as a dislocation-magnetic induction intensity function.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features. Furthermore, the above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A non-ferromagnetic material stress damage monitoring method is characterized by comprising the following steps:
acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress;
introducing the magnetic induction intensity into a dislocation-magnetic induction intensity function, and determining the dislocation density;
determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process;
wherein the determining of the dislocation-magnetic induction function comprises:
establishing a relational expression between the magnetic induction intensity and the main stress;
introducing a dislocation concept, and establishing a relational expression between dislocation density and shear stress;
establishing a relational expression between the shear stress and the main stress;
determining a relational expression between the main stress and the dislocation density according to the relational expression between the dislocation density and the shear stress and the relational expression between the shear stress and the main stress;
and determining a relational expression between the magnetic induction intensity and the dislocation density according to the relational expression between the magnetic induction intensity and the main stress and the relational expression between the main stress and the dislocation density, namely determining the relational expression as a dislocation-magnetic induction intensity function.
2. The method for monitoring stress damage of non-ferromagnetic material according to claim 1, wherein the relationship between the magnetic induction and the principal stress is:
Figure FDA0003106872980000011
wherein, sigma is the main stress,
Figure FDA0003106872980000012
the magnetic induction intensity is the normal magnetic induction intensity,
Figure FDA0003106872980000013
w is the material cross-sectional width, L for axial magnetic induction0For lift-off distance, kzIs a value of ktNd/1-NdConstant of (2), coefficient ktAnd a demagnetization factor NdOnly with respect to the shape of the sample.
3. The method for monitoring stress damage of non-ferromagnetic material according to claim 2, wherein the relationship between dislocation density and shear stress is:
Figure FDA0003106872980000014
wherein tau is shear stress; g is shear modulus; a is a strengthening coefficient, and the value of a strengthening coefficient is a constant between 0.3 and 0.6; ρ is the dislocation density.
4. The method for monitoring stress damage of non-ferromagnetic material according to claim 3, wherein the relationship between shear stress and principal stress is:
Figure FDA0003106872980000021
5. the method for monitoring stress damage of non-ferromagnetic material according to claim 4, wherein the relationship between principal stress and dislocation density is:
Figure FDA0003106872980000022
6. the method for monitoring stress damage of non-ferromagnetic material according to claim 5, wherein the relationship between the principal stress and the dislocation density is:
Figure FDA0003106872980000023
7. the method for monitoring stress damage of non-ferromagnetic material according to claim 1, wherein determining the stress damage status of non-ferromagnetic material by analyzing the dislocation density during the whole tensile stress damage process comprises:
representing the amount of dislocations from the density of dislocations
Figure FDA0003106872980000024
Wherein L is the total length of dislocation lines, and V is the crystal volume;
and determining the stress damage state of the non-ferromagnetic material according to the dislocation quantity.
8. The method for monitoring stress damage of a non-ferromagnetic material according to claim 7, wherein the stress damage status of the non-ferromagnetic material comprises: an elastic deformation stage, a work hardening stage, and a neck fracture stage.
9. A non-ferromagnetic material stress damage monitoring device, comprising:
the high-precision magnetism measuring sensor is used for acquiring the magnetic induction intensity of the surface of the non-ferromagnetic material applying the external tensile stress;
a micro-magnetic on-line monitoring device,
the magnetic induction is used for introducing the magnetic induction into a dislocation-magnetic induction function, and the dislocation density is determined; and
the method is used for determining the stress damage state of the non-ferromagnetic material by analyzing the dislocation density in the whole tensile stress damage process;
wherein the dislocation-flux density function comprises:
a first relational expression determining unit for establishing a relational expression between the magnetic induction and the principal stress;
the second relational expression determining unit is used for introducing a dislocation concept and establishing a relational expression between dislocation density and shear stress;
a third relation determining unit for establishing a relation between the shear stress and the principal stress;
a fourth relational expression determining unit, configured to determine a relational expression between the principal stress and the dislocation density according to a relational expression between the dislocation density and the shear stress, and a relational expression between the shear stress and the principal stress;
and the fifth relational expression determining unit is used for determining a relational expression between the magnetic induction and the dislocation density according to the relational expression between the magnetic induction and the main stress and the relational expression between the main stress and the dislocation density, namely the relational expression is a dislocation-magnetic induction function.
10. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the method of any of claims 1-8.
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